explaingit

hkuds/vimax

6,498PythonAudience · researcherComplexity · 4/5MaintainedLicenseSetup · hard

TLDR

Multi-agent video generation system that turns an idea, novel, screenplay, or photo into a full video by coordinating Director, Screenwriter, Producer, and Video Generator roles.

Mindmap

mindmap
  root((ViMax))
    Inputs
      Raw idea
      Novel text
      Screenplay
      Reference photo
    Outputs
      Story design
      Video clips
      Character cameos
    Use Cases
      Idea2Video
      Novel2Video
      Script2Video
      AutoCameo
    Tech Stack
      Python
      uv
      AI agents

Things people build with this

USE CASE 1

Turn a one-paragraph idea into a multi-scene video with story design, characters, and shot list.

USE CASE 2

Adapt a novel into episodic video content with scene-by-scene narrative compression.

USE CASE 3

Convert a written screenplay into a video that follows the script directly.

USE CASE 4

Use a photo of a person or pet as a recurring guest star across different generated scenes.

Tech stack

Pythonuv

Getting it running

Difficulty · hard Time to first run · 1day+

Multi-agent video generation likely needs GPU resources and several model dependencies beyond standard Python install.

MIT license. Free to use, modify, and redistribute including for commercial purposes, with attribution.

In plain English

ViMax is a system from HKUDS that uses AI agents to generate videos from a simple idea, a novel, a written screenplay, or a personal photo. The project frames itself as four roles working together: a Director, a Screenwriter, a Producer, and a Video Generator, all combined into one tool. The stated goal is to handle the whole creative pipeline rather than just producing a few seconds of footage at a time. The README points to three problems with current AI video tools. First, most can only make very short clips. Second, characters and scenes tend to change in unpredictable ways from frame to frame, breaking consistency. Third, the tools focus only on visuals and ignore script writing, audio, and narrative structure. ViMax is presented as an attempt to cover all of those pieces in one workflow. Four main modes are described. Idea2Video turns a raw idea into a full video story by automating story design, character creation, and production. Novel2Video reads a complete novel and adapts it into episodic video content, with narrative compression and scene-by-scene visuals. Script2Video lets a user write any screenplay, from a personal story to an adventure, and produce video that follows the script directly. AutoCameo takes a photo of a person or pet and turns that subject into a recurring guest star across different scripts and scenes. The project is written in Python 3.12, uses the uv package manager, and is released under the MIT license. The README links to a Chinese version, a WeChat group, a Feishu group, and a YouTube channel, and shows several generated demo videos as proof of output quality.

Copy-paste prompts

Prompt 1
Set up ViMax with Python 3.12 and uv on Linux. Walk me through cloning, installing dependencies, and running Idea2Video on a one-sentence prompt.
Prompt 2
Use ViMax Novel2Video to adapt the first chapter of a public domain novel into a 3-episode video series. What config knobs control pacing?
Prompt 3
Compare ViMax Script2Video against Sora and Runway for a 2-minute personal story. What does ViMax do better and where does it fall short?
Prompt 4
Use AutoCameo to take a photo of my dog and turn him into the recurring sidekick across a 5-scene script. Show the config and example output.
Prompt 5
Sketch how the Director, Screenwriter, Producer, and Video Generator agents coordinate inside ViMax. Where does the handoff happen?
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Generated 2026-05-22 · Model: sonnet-4-6 · Verify against the repo before relying on details.